Google Cloud Machine Learning Services(AI Infrastructure Architect)

Project Role : AI Infrastructure Architect

Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

Must have skills : Google Cloud Machine Learning Services

Good to have skills : Machine Learning Operations

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

Build and maintain ML pipelines for training, evaluation, and deployment

Roles & Responsibilities:

- Build and maintain ML pipelines for training, evaluation, and deployment

- Support model versioning, packaging, and CI/CD for ML workflows

- Monitor deployed models for performance, drift, and reliability

- Automate data preprocessing and feature pipelines

- Collaborate with data scientists to deploy and operationalize models

- Troubleshoot infrastructure and pipeline issues

- Maintain documentation of ML infrastructure and workflows

Professional & Technical Skills:

- Support scaling of training/inference infrastructure